triple1 listlengths 3 3 | triple2 listlengths 3 3 | triple3 listlengths 3 3 | triple1_labels listlengths 3 3 | triple2_labels listlengths 3 3 | triple3_labels listlengths 3 3 | description stringlengths 12 16 | keep_triple bool 1
class | query_prompt stringlengths 3.24k 3.31k | query stringlengths 91 203 | entity_a stringlengths 3 26 | entity_b stringlengths 6 42 | rel_b stringlengths 6 28 | prompt stringlengths 3.55k 3.73k | index int64 200 219 | raw_responses stringlengths 93 5.78k |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
[
"Q47300912",
"P161",
"Q382523"
] | [
"Q47300912",
"P161",
"Q64362102"
] | [
"Q64362102",
"P106",
"Q1049296"
] | [
"Once Upon a Time in Hollywood",
"cast member",
"Omar Doom"
] | [
"Once Upon a Time in Hollywood",
"cast member",
"James Landry Hébert"
] | [
"James Landry Hébert",
"occupation",
"casting director"
] | Q47300912__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Omar Doom, an actor, and someone who works as a casting director? | Omar Doom | casting director | occupation | Query: What are different ways of connecting Omar Doom, an actor, and someone who works as a casting director?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begin... | 200 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Omar Doom\", \"acted in\", \"Once Upon a Time in Hollywood\"],\n [\"Once Upon a Time in Hollywood\", \"casting director\", \"Victoria Thomas\"],\n [\"Victoria Thomas\", \"occupation\", \"casting director\"]\n ],\n \"2\": [\n [\"Omar Doom\", \"acted in\", \"... |
[
"Q420590",
"P2175",
"Q11085"
] | [
"Q414225",
"P2175",
"Q11085"
] | [
"Q414225",
"P4770",
"Q71133637"
] | [
"ropinirol",
"medical condition treated",
"Parkinson's disease"
] | [
"(S)-(−)-carbidopa monohydrate",
"medical condition treated",
"Parkinson's disease"
] | [
"(S)-(−)-carbidopa monohydrate",
"hydrated form of",
"(S)-(−)-carbidopa"
] | Q11085__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting ropinirol, a medication used to treat Parkinson's disease, and a substance that is the hydrated form of (S)-(−)-carbidopa? | ropinirol | (S)-(−)-carbidopa | hydrated form of | Query: What are different ways of connecting ropinirol, a medication used to treat Parkinson's disease, and a substance that is the hydrated form of (S)-(−)-carbidopa?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | 201 | {"final_response": "<answer>\n{\n \"1\": [\n [\"ropinirol\", \"treats\", \"Parkinson's disease\"],\n [\"Parkinson's disease\", \"treated by\", \"Carbidopa monohydrate\"],\n [\"Carbidopa monohydrate\", \"hydrated form of\", \"(S)-(\u2212)-carbidopa\"]\n ],\n \"2\": [\n [\"ropinirol\", \"treats\", \"Restle... |
[
"Q190050",
"P162",
"Q705631"
] | [
"Q190050",
"P162",
"Q961183"
] | [
"Q961183",
"P1411",
"Q102427"
] | [
"Fight Club",
"producer",
"Art Linson"
] | [
"Fight Club",
"producer",
"Ceán Chaffin"
] | [
"Ceán Chaffin",
"nominated for",
"Academy Award for Best Picture"
] | Q190050__P162 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Art Linson, a film producer, and someone who was nominated for the Academy Award for Best Picture? | Art Linson | Academy Award for Best Picture | nominated for | Query: What are different ways of connecting Art Linson, a film producer, and someone who was nominated for the Academy Award for Best Picture?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) form... | 202 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Art Linson\", \"produced\", \"Fight Club\"],\n [\"Fight Club\", \"starred\", \"Brad Pitt\"],\n [\"Brad Pitt\", \"nominated for\", \"Academy Award for Best Picture\"]\n ],\n \"2\": [\n [\"Art Linson\", \"produced\", \"Heat\"],\n [\"Heat\", \"directed by\"... |
[
"Q407841",
"P2175",
"Q41112"
] | [
"Q567927",
"P2175",
"Q41112"
] | [
"Q567927",
"P527",
"Q629"
] | [
"reserpine",
"medical condition treated",
"schizophrenia"
] | [
"pipotiazine",
"medical condition treated",
"schizophrenia"
] | [
"pipotiazine",
"has part(s)",
"oxygen"
] | Q41112__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting reserpine, a chemical compound, and a substance that has oxygen as one of its parts? | reserpine | oxygen | has part(s) | Query: What are different ways of connecting reserpine, a chemical compound, and a substance that has oxygen as one of its parts?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuo... | 203 | {"final_response": "<answer>\n{\n \"1\": [\n [\"reserpine\", \"has part(s)\", \"oxygen\"]\n ],\n \"2\": [\n [\"reserpine\", \"inhibits\", \"VMAT2\"],\n [\"VMAT2\", \"transports\", \"dopamine\"],\n [\"dopamine\", \"has part(s)\", \"oxygen\"]\n ],\n \"3\": [\n [\"reserpine\", \"inhibits\", \"VMAT1\"],... |
[
"Q14864935",
"P2293",
"Q11081"
] | [
"Q18027947",
"P2293",
"Q11081"
] | [
"Q18027947",
"P5572",
"Q66004840"
] | [
"CLU",
"genetic association",
"Alzheimer's disease"
] | [
"INPP5D",
"genetic association",
"Alzheimer's disease"
] | [
"INPP5D",
"expressed in",
"bone marrow cells"
] | Q11081__P2293 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting CLU, a protein involved in various biological processes, and a substance that is expressed in bone marrow cells? | CLU | bone marrow cells | expressed in | Query: What are different ways of connecting CLU, a protein involved in various biological processes, and a substance that is expressed in bone marrow cells?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationsh... | 204 | {"final_response": "<answer>\n{\n \"1\": [\n [\"CLU\", \"interacts with\", \"APOE\"],\n [\"APOE\", \"expressed in\", \"bone marrow cells\"]\n ],\n \"2\": [\n [\"CLU\", \"interacts with\", \"APP\"],\n [\"APP\", \"expressed in\", \"bone marrow cells\"]\n ],\n \"3\": [\n [\"CLU\", \"interacts with\", \... |
[
"Q424551",
"P2175",
"Q5445"
] | [
"Q5383794",
"P2175",
"Q5445"
] | [
"Q5383794",
"P3493",
"Q879952"
] | [
"sodium ascorbate",
"medical condition treated",
"anemia"
] | [
"epoetin alfa",
"medical condition treated",
"anemia"
] | [
"epoetin alfa",
"legal status (medicine)",
"boxed warning"
] | Q5445__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting sodium ascorbate, a chemical compound, and a substance that has a boxed warning regarding its legal status as a medicine? | sodium ascorbate | boxed warning | legal status (medicine) | Query: What are different ways of connecting sodium ascorbate, a chemical compound, and a substance that has a boxed warning regarding its legal status as a medicine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, r... | 205 | {"final_response": "<answer>\n{\n \"1\": [\n [\"sodium ascorbate\", \"interacts with\", \"Warfarin\"],\n [\"Warfarin\", \"legal status (medicine)\", \"boxed warning\"]\n ],\n \"2\": [\n [\"sodium ascorbate\", \"salt of\", \"ascorbic acid\"],\n [\"ascorbic acid\", \"interacts with\", \"Amphetamine\"],\n ... |
[
"Q5263013",
"P54",
"Q204862"
] | [
"Q6309732",
"P54",
"Q204862"
] | [
"Q6309732",
"P69",
"Q7128518"
] | [
"Derrick Frazier",
"member of sports team",
"Dallas Cowboys"
] | [
"Julius Crosslin",
"member of sports team",
"Dallas Cowboys"
] | [
"Julius Crosslin",
"educated at",
"Palo Duro High School"
] | Q204862__P54 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Derrick Frazier and someone who was educated at Palo Duro High School? | Derrick Frazier | Palo Duro High School | educated at | Query: What are different ways of connecting Derrick Frazier and someone who was educated at Palo Duro High School?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that ... | 206 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Derrick Frazier\", \"played in\", \"National Football League\"],\n [\"John Ayers\", \"played in\", \"National Football League\"],\n [\"John Ayers\", \"educated at\", \"Palo Duro High School\"]\n ],\n \"2\": [\n [\"Derrick Frazier\", \"played in\", \"Nationa... |
[
"Q18045527",
"P2293",
"Q133823"
] | [
"Q18043161",
"P2293",
"Q133823"
] | [
"Q18043161",
"P684",
"Q24414316"
] | [
"PRDM16",
"genetic association",
"migraine"
] | [
"MARCHF4",
"genetic association",
"migraine"
] | [
"MARCHF4",
"ortholog",
"Marchf4"
] | Q133823__P2293 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting PRDM16, a gene involved in various biological processes, and a substance that is an ortholog of MARCHF4? | PRDM16 | Marchf4 | ortholog | Query: What are different ways of connecting PRDM16, a gene involved in various biological processes, and a substance that is an ortholog of MARCHF4?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail... | 207 | {"final_response": "<answer>\n{\n \"1\": [\n [\"PRDM16\", \"found in taxon\", \"Homo sapiens\"],\n [\"Homo sapiens\", \"has gene\", \"MARCHF4\"],\n [\"MARCHF4\", \"ortholog\", \"Marchf4\"]\n ],\n \"2\": [\n [\"PRDM16\", \"binds\", \"Zinc ion\"],\n [\"Zinc ion\", \"bound by\", \"MARCHF4\"],\n [\"MAR... |
[
"Q101854947",
"P57",
"Q101858331"
] | [
"Q101854947",
"P57",
"Q17385819"
] | [
"Q17385819",
"P106",
"Q1053574"
] | [
"Ditching Party",
"director",
"Enrico Natale"
] | [
"Ditching Party",
"director",
"Demetrius Navarro"
] | [
"Demetrius Navarro",
"occupation",
"executive producer"
] | Q101854947__P57 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting a Ditching Party and someone who is an executive producer? | Ditching Party | executive producer | occupation | Query: What are different ways of connecting a Ditching Party and someone who is an executive producer?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins with ... | 208 | {"final_response": "<answer>\n{}\n</answer>", "response_tokens": 9, "reasoning_tokens": 1513} |
[
"Q101854947",
"P57",
"Q17385819"
] | [
"Q101854947",
"P57",
"Q101858331"
] | [
"Q101858331",
"P19",
"Q1297"
] | [
"Ditching Party",
"director",
"Demetrius Navarro"
] | [
"Ditching Party",
"director",
"Enrico Natale"
] | [
"Enrico Natale",
"place of birth",
"Chicago"
] | Q101854947__P57 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting a Ditching Party and someone who was born in Chicago? | Ditching Party | Chicago | place of birth | Query: What are different ways of connecting a Ditching Party and someone who was born in Chicago?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins with one e... | 209 | {"final_response": "<answer>\n{}\n</answer>", "response_tokens": 9, "reasoning_tokens": 1077} |
[
"Q114898722",
"P57",
"Q104621865"
] | [
"Q1273684",
"P57",
"Q104621865"
] | [
"Q104621865",
"P166",
"Q1509201"
] | [
"Evil Chris",
"director",
"I Am Katrina"
] | [
"John Stagliano",
"director",
"I Am Katrina"
] | [
"I Am Katrina",
"award received",
"AVN Hall of Fame"
] | Q104621865__P57 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Evil Chris, a notable figure in the adult entertainment industry, and someone who has received the AVN Hall of Fame award? | Evil Chris | AVN Hall of Fame | award received | Query: What are different ways of connecting Evil Chris, a notable figure in the adult entertainment industry, and someone who has received the AVN Hall of Fame award?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, ... | 210 | {"final_response": "```json\n<answer>\n{\n \"1\": [\n [\"Evil Chris\", \"worked for\", \"Evil Angel\"],\n [\"Evil Angel\", \"founded by\", \"John Stagliano\"],\n [\"John Stagliano\", \"award received\", \"AVN Hall of Fame\"]\n ],\n \"2\": [\n [\"Evil Chris\", \"worked with\", \"Ron Jeremy\"],\n [\"Ron... |
[
"Q410352",
"P2175",
"Q41571"
] | [
"Q868658",
"P2175",
"Q41571"
] | [
"Q868658",
"P769",
"Q377270"
] | [
"gabapentin",
"medical condition treated",
"epilepsy"
] | [
"perampanel",
"medical condition treated",
"epilepsy"
] | [
"perampanel",
"significant drug interaction",
"dihydrocodeine"
] | Q41571__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting gabapentin, a medication used to treat nerve pain, and a substance that has a significant drug interaction with dihydrocodeine? | gabapentin | dihydrocodeine | significant drug interaction | Query: What are different ways of connecting gabapentin, a medication used to treat nerve pain, and a substance that has a significant drug interaction with dihydrocodeine?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (h... | 211 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"gabapentin\",\n \"significant drug interaction\",\n \"dihydrocodeine\"\n ]\n ],\n \"2\": [\n [\n \"gabapentin\",\n \"similar to\",\n \"pregabalin\"\n ],\n [\n \"pregabalin\",\n \"significant drug interaction\",\... |
[
"Q183182",
"P166",
"Q935843"
] | [
"Q461011",
"P166",
"Q935843"
] | [
"Q461011",
"P106",
"Q15981151"
] | [
"Arthur Rubinstein",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Louis Jordan",
"award received",
"Grammy Lifetime Achievement Award"
] | [
"Louis Jordan",
"occupation",
"jazz musician"
] | Q935843__P166 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Arthur Rubinstein, the renowned pianist, and someone who is known for their occupation as a jazz musician? | Arthur Rubinstein | jazz musician | occupation | Query: What are different ways of connecting Arthur Rubinstein, the renowned pianist, and someone who is known for their occupation as a jazz musician?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, ta... | 212 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Arthur Rubinstein\", \"received award\", \"Grammy Lifetime Achievement Award\"],\n [\"Grammy Lifetime Achievement Award\", \"awarded to\", \"Miles Davis\"],\n [\"Miles Davis\", \"occupation\", \"jazz musician\"]\n ],\n \"2\": [\n [\"Arthur Rubinstein\", \"r... |
[
"Q16196017",
"P39",
"Q62070236"
] | [
"Q270650",
"P39",
"Q62070236"
] | [
"Q270650",
"P166",
"Q10762848"
] | [
"Tedros Adhanom Ghebreyesus",
"position held",
"Director-General of the World Health Organization"
] | [
"Margaret Chan",
"position held",
"Director-General of the World Health Organization"
] | [
"Margaret Chan",
"award received",
"Officer of the Order of the British Empire"
] | Q62070236__P39 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Tedros Adhanom Ghebreyesus, the Director-General of the World Health Organization, and someone who has received the Officer of the Order of the British Empire award? | Tedros Adhanom Ghebreyesus | Officer of the Order of the British Empire | award received | Query: What are different ways of connecting Tedros Adhanom Ghebreyesus, the Director-General of the World Health Organization, and someone who has received the Officer of the Order of the British Empire award?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection pa... | 213 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Tedros Adhanom Ghebreyesus\", \"employer\", \"World Health Organization\"],\n [\"Jeremy Farrar\", \"employer\", \"World Health Organization\"],\n [\"Jeremy Farrar\", \"award received\", \"Officer of the Order of the British Empire\"]\n ],\n \"2\": [\n [\"Te... |
[
"Q104881084",
"P162",
"Q54958306"
] | [
"Q104881084",
"P162",
"Q108305806"
] | [
"Q108305806",
"P106",
"Q3455803"
] | [
"Rita Moreno: Just a Girl Who Decided to Go for It",
"producer",
"Brent Miller"
] | [
"Rita Moreno: Just a Girl Who Decided to Go for It",
"producer",
"Mariem Pérez Riera"
] | [
"Mariem Pérez Riera",
"occupation",
"director"
] | Q104881084__P162 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Brent Miller, and someone who is a director by profession? | Brent Miller | director | occupation | Query: What are different ways of connecting Brent Miller, and someone who is a director by profession?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) forming a continuous chain that begins with ... | 214 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Brent Miller\", \"voice acted in\", \"Ninjago\"],\n [\"Ninjago\", \"directed by\", \"Peter Hausner\"],\n [\"Peter Hausner\", \"occupation\", \"director\"]\n ],\n \"2\": [\n [\"Brent Miller\", \"produced\", \"One Day at a Time (2017 TV series)\"],\n [\"On... |
[
"Q596022",
"P2175",
"Q41861"
] | [
"Q412221",
"P2175",
"Q41861"
] | [
"Q412221",
"P769",
"Q58397"
] | [
"quinapril",
"medical condition treated",
"arterial hypertension"
] | [
"clonidine",
"medical condition treated",
"arterial hypertension"
] | [
"clonidine",
"significant drug interaction",
"amitriptyline"
] | Q41861__P2175 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting quinapril, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with amitriptyline? | quinapril | amitriptyline | significant drug interaction | Query: What are different ways of connecting quinapril, a medication used to treat high blood pressure, and a substance that has a significant drug interaction with amitriptyline?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual tri... | 215 | {"final_response": "<answer>\n{\n \"1\": [\n [\"quinapril\", \"interacts with\", \"lithium\"],\n [\"lithium\", \"significant drug interaction\", \"amitriptyline\"]\n ],\n \"2\": [\n [\"quinapril\", \"interacts with\", \"potassium chloride\"],\n [\"potassium chloride\", \"significant drug interaction\", \... |
[
"Q50737044",
"P161",
"Q147235"
] | [
"Q1976946",
"P161",
"Q147235"
] | [
"Q147235",
"P26",
"Q5213875"
] | [
"Jude Will",
"cast member",
"How I Met Your Mother"
] | [
"Rachel Specter",
"cast member",
"How I Met Your Mother"
] | [
"How I Met Your Mother",
"spouse",
"Dan Levy"
] | Q147235__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting "How I Met Your Mother," the popular television series, and someone who is the spouse of Dan Levy? | How I Met Your Mother | Dan Levy | spouse | Query: What are different ways of connecting "How I Met Your Mother," the popular television series, and someone who is the spouse of Dan Levy?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, tail) form... | 216 | {"final_response": "<answer>\n{\n \"1\": [\n [\"How I Met Your Mother\", \"features actor\", \"Rachel Specter\"],\n [\"Rachel Specter\", \"spouse\", \"Dan Levy\"]\n ],\n \"2\": [\n [\"How I Met Your Mother\", \"has spin-off\", \"How I Met Your Father\"],\n [\"How I Met Your Father\", \"produced by\", \"R... |
[
"Q104880673",
"P57",
"Q3311721"
] | [
"Q104880673",
"P57",
"Q3901505"
] | [
"Q3901505",
"P185",
"Q63965859"
] | [
"Father Christmas Is Back",
"director",
"Mick Davis"
] | [
"Father Christmas Is Back",
"director",
"Philippe Martinez"
] | [
"Philippe Martinez",
"doctoral student",
"Sophie Fleury"
] | Q104880673__P57 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting "Father Christmas Is Back," a festive film, and someone who is a doctoral student under Philippe Martinez? | Father Christmas Is Back | Sophie Fleury | doctoral student | Query: What are different ways of connecting "Father Christmas Is Back," a festive film, and someone who is a doctoral student under Philippe Martinez?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, ta... | 217 | {"final_response": "<answer>\n{\n \"1\": [\n [\"Father Christmas Is Back\", \"directed by\", \"Philippe Martinez\"],\n [\"Philippe Martinez\", \"doctoral student\", \"Sophie Fleury\"]\n ],\n \"2\": [\n [\"Father Christmas Is Back\", \"produced by\", \"Philippe Martinez\"],\n [\"Philippe Martinez\", \"doc... |
[
"Q111942171",
"P161",
"Q356331"
] | [
"Q111942171",
"P161",
"Q116729769"
] | [
"Q116729769",
"P800",
"Q111942171"
] | [
"Shrinking",
"cast member",
"Michael Urie"
] | [
"Shrinking",
"cast member",
"Luke Tennie"
] | [
"Luke Tennie",
"notable work",
"Shrinking"
] | Q111942171__P161 | false | Task: Generate a Natural Language Query.
You will be given input in the following format:
Concept A: entity1
Concept B: entity2
Concept C: (concept B, rel, entity3)
Concept A and Concept C are connected via an independent concept B. Concept C is a property of Concept B, which the person is supposed to guess.
You... | What are different ways of connecting Michael Urie, the American actor, and someone who is known for their notable work in the series "Shrinking"? | Michael Urie | Shrinking | notable work | Query: What are different ways of connecting Michael Urie, the American actor, and someone who is known for their notable work in the series "Shrinking"?
Task: Identify how two real-world entities are connected by producing MANY connection paths. A connection path is a sequence of factual triples (head, relationship, ... | 218 | {"final_response": "<answer>\n{\n \"1\": [\n [\n \"Michael Urie\",\n \"notable work\",\n \"Shrinking\"\n ]\n ],\n \"2\": [\n [\n \"Michael Urie\",\n \"co-starred with\",\n \"Jason Segel\"\n ],\n [\n \"Jason Segel\",\n \"notable work\",\n \"Shrinking\"\n ... |
End of preview. Expand in Data Studio
Dataset: connections-dev/connection_queries_jan12
This dataset was generated using the inference script with the following configuration:
Inference Parameters
Model Configuration
- Model Name:
gemini-3.1-pro-preview - Server URL:
Not specified - API Key:
Not provided - Request Timeout:
120 seconds
Query Configuration
- Query Type:
natural - Query Column:
query - Sampling Type:
original
Generation Parameters
- Temperature:
0.7 - Max Tokens:
16384 - Number of Runs:
1 - Chunk Size:
Entire dataset - Effort Level:
medium
Feature Flags
- Step by Step Reasoning:
False - Reasoning Enabled:
False - No Curator:
False - Index Filter:
None (all samples) - Start Index:
200 - End Index:
220
Data Information
- Input File:
connections-dev/connection_queries_jan12 - Number of Samples:
20 - Output Filename:
connection_queries_jan12__natural__s200__e220__original__1__medium__0.7__16384__gemini-3_1-pro-preview.jsonl
Dataset Structure
The dataset contains the following key columns:
query: The original queryentity_a: Starting entityentity_b: Target entityrel_b: Target relationshippath_prediction: Generated connection pathsprompt_for_path: Prompts used for path generation
Usage
You can load this dataset using:
from datasets import load_dataset
dataset = load_dataset("s200_e220_original_1_medium_0.7_16384_gemini-3_1-pro-preview__raw")
Generation Details
This dataset was generated on 2026-03-12 02:43:07 using the inference pipeline with the above configuration.
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